Ontrac Solutions

Ontrac Solutions

Principal AI Engineer

San Francisco, CA · Principal

Sponsorship not specifiedDetected 22 days ago
PythonDistributed SystemsVector DatabasesMachine LearningLLMsRAGAgentic AIAI OrchestrationCustomer SupportEmbedded SystemsLeadershipMentoring

About the role

  • Governance, Risk & Compliance Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.

Responsibilities

  • GenAI Architecture & Production Readiness Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.
  • Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.
  • Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.
  • Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.
  • Banking Use-Case Delivery Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.
  • Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.
  • Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.
  • Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.
  • Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.
  • Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.

Requirements

  • 7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.
  • 2+ years of hands-on Python programming experience.
  • 2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.
  • 2+ years of experience with LLMs, prompt engineering, and RAG architecture.
  • 2+ years of experience with vector databases, semantic search, and retrieval systems.
  • 2+ years of experience with API-driven, cloud-native architectures.
  • 2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.
  • Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.

Nice to have

  • Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.
  • Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.
  • Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.
  • Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.
  • Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.
  • Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.
  • Ideal Candidate Profile The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment.
  • Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.
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This listing is sourced directly from Ontrac Solutions's careers page and normalized into a canonical job model.